feat: KYC risk profiling, AML flagged transactions bulk review, Risk Review report & Board Resolution register

This commit is contained in:
2026-09-16 12:51:24 +05:30
parent 0fbf6ec58c
commit 0cef1b5a50
26 changed files with 3309 additions and 159 deletions
+87 -15
View File
@@ -10,7 +10,7 @@ import {
AmlRuleMeta,
CTR_THRESHOLD,
MATERIALITY,
NON_MITIGABLE_RULES,
isNonMitigableRule,
REVIEW_STATUS_META,
RISK_LABEL,
RiskAlertRow,
@@ -109,6 +109,8 @@ export interface RiskCustomerRow {
needsUpgrade: boolean;
/** True when the rating on record is higher than the activity warrants. */
needsDowngrade: boolean;
/** The review period the recommendation was drawn from, where the nightly job has computed one. */
behaviourWindow?: BehaviourWindowByClient[number] | null;
}
export interface RiskReviewSummary {
@@ -158,7 +160,7 @@ function recommendRating(
ruleCodes: string[]
): { risk: RiskLevel; reason: string } {
const implied = RANK_TO_LEVEL[impliedRank] ?? 'LOW';
const grave = ruleCodes.find((c) => NON_MITIGABLE_RULES.has(c));
const grave = ruleCodes.find((c) => isNonMitigableRule(c));
const material = largestAmount >= CTR_THRESHOLD || totalAmount >= MATERIALITY.highTotal;
const small = largestAmount < MATERIALITY.smallTxn && totalAmount < MATERIALITY.smallTotal;
@@ -271,7 +273,36 @@ export function riskAlertViews(alerts: RiskAlertRow[], filter: RiskReviewFilter)
* escalated, then rated below what the rules point at, then most alerts —
* come to the top of the worklist.
*/
export function riskCustomerRows(views: RiskAlertView[]): RiskCustomerRow[] {
/**
* The behaviour window the nightly job computed for one customer, where there is one.
*
* Keyed on client id. A customer with no window - one the job has not seen yet, or a tenant where the job has never
* run - falls back to the per-alert reckoning below, so the report renders either way.
*/
export interface BehaviourWindowByClient {
[clientId: number]: {
clientId: number;
clientName: string | null;
accountNo: string | null;
officeName: string | null;
riskCategoryAtReview: number | null;
txnCount: number | null;
distinctMonths: number | null;
windowFrom: any;
windowTo: any;
creditTotal: number | null;
debitTotal: number | null;
largestTxn: number | null;
cashTotal: number | null;
alertCount: number | null;
strCaseCount: number | null;
suggestedDirection: string | null;
suggestedCategory: number | null;
suggestionReason: string | null;
};
}
export function riskCustomerRows(views: RiskAlertView[], windows: BehaviourWindowByClient = {}): RiskCustomerRow[] {
const byClient = new Map<number, RiskAlertView[]>();
for (const v of views) {
const list = byClient.get(v.clientId);
@@ -297,19 +328,53 @@ export function riskCustomerRows(views: RiskAlertView[]): RiskCustomerRow[] {
const largestAmount = Math.max(...alerts.map((a) => a.amount));
const escalated = alerts.some((a) => a.status === 'ESCALATED_STR' || a.status === 'STR_FILED');
const recommendation = recommendRating(
proposedRank,
currentRisk,
largestAmount,
totalAmount,
escalated,
alerts.map((a) => a.ruleCode)
);
// The server's own reckoning, where the nightly job has produced one.
//
// It is the better answer, and not because it is newer: it is drawn from a review period rather than from the
// alerts on this screen. A customer appears here only once a rule has fired, so judging them on those alerts
// alone describes the exceptions and never the ordinary months around them - which is exactly what a rating is
// supposed to reflect. The job also tests the things this screen cannot see at all: how many separate months the
// activity falls in, how long the customer has held the rating, whether an STR inside the block window forbids
// lowering it.
//
// Without a window - a tenant where the job has not run, or a customer it has not reached - the per-alert
// reckoning below still stands, so the report never renders blank while the two are in step.
// A window is only good for as long as the rating it was computed against. The job takes a snapshot each night
// and records the rating the customer held at the time; once an officer moves that rating the snapshot describes
// a customer who no longer exists, and the screen would go on asking for a change that has already been applied
// and approved. Dropping it here falls back to the per-alert reckoning until tonight's job catches up.
const raw = windows[clientId];
const staleWindow =
raw?.riskCategoryAtReview != null && currentRisk != null && RANK_TO_LEVEL[raw.riskCategoryAtReview] !== currentRisk;
const window = staleWindow ? undefined : raw;
const recommendation = window?.suggestedDirection
? {
risk: RANK_TO_LEVEL[window.suggestedCategory ?? 0] ?? currentRisk ?? 'LOW',
reason: window.suggestionReason ?? ''
}
: recommendRating(
proposedRank,
currentRisk,
largestAmount,
totalAmount,
escalated,
alerts.map((a) => a.ruleCode)
);
// Where the customer carries no rating there is nothing to move, so an
// unrated customer is never counted as an upgrade or a downgrade.
const delta = currentRisk ? riskRank(recommendation.risk) - riskRank(currentRisk) : 0;
const direction: RatingDirection = delta > 0 ? 'up' : delta < 0 ? 'down' : 'same';
const direction: RatingDirection = window?.suggestedDirection
? window.suggestedDirection === 'UP'
? 'up'
: window.suggestedDirection === 'DOWN'
? 'down'
: 'same'
: delta > 0
? 'up'
: delta < 0
? 'down'
: 'same';
rows.push({
clientId,
@@ -332,7 +397,10 @@ export function riskCustomerRows(views: RiskAlertView[]): RiskCustomerRow[] {
openCount: alerts.filter((a) => REVIEW_STATUS_META[a.status].open).length,
escalated,
needsUpgrade: direction === 'up',
needsDowngrade: direction === 'down'
needsDowngrade: direction === 'down',
// Carried through so the screen can show the period a recommendation was drawn from. A rating an officer is
// asked to approve has to show its working, and the alerts on this row are not it.
behaviourWindow: window ?? null
});
}
@@ -461,9 +529,13 @@ export interface RiskReviewModel {
* the summary all run once per filter change rather than once per template
* binding, which matters because every view reads from the same result.
*/
export function buildRiskReview(alerts: RiskAlertRow[], filter: RiskReviewFilter): RiskReviewModel {
export function buildRiskReview(
alerts: RiskAlertRow[],
filter: RiskReviewFilter,
windows: BehaviourWindowByClient = {}
): RiskReviewModel {
const base = riskAlertViews(alerts, filter);
const narrowed = applyDirectionFilter(base, riskCustomerRows(base), filter.direction);
const narrowed = applyDirectionFilter(base, riskCustomerRows(base, windows), filter.direction);
return {
alerts: narrowed.views,